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https://github.com/h2non/paco

Small utility library for coroutine-driven asynchronous generic programming in Python
https://github.com/h2non/paco

asynchronous asyncio coroutines generic-programming library python utility

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Small utility library for coroutine-driven asynchronous generic programming in Python

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README

        

paco |PyPI| |Coverage Status| |Documentation Status| |Stability| |Quality| |Versions|
=====================================================================================

Small and idiomatic utility library for coroutine-driven asynchronous generic programming in Python.

Built on top of `asyncio`_, ``paco`` provides missing capabilities from Python `stdlib`
in order to write asynchronous cooperative multitasking in a nice-ish way.
Also, paco aims to port some of `functools`_ and `itertools`_ standard functions to the asynchronous world.

``paco`` can be your utility belt to deal with asynchronous, I/O-bound, non-blocking concurrent code in a cleaner and idiomatic way.

Features
--------

- Simple and idiomatic API, extending Python ``stdlib`` with async coroutines gotchas.
- Built-in configurable control-flow concurrency support (throttle).
- No fancy abstractions: it just works with the plain asynchronous coroutines.
- Useful iterables, decorators, functors and convenient helpers.
- Coroutine-based functional helpers: ``compose``, ``throttle``, ``partial``, ``timeout``, ``times``, ``until``, ``race``...
- Asynchronous coroutines port of Python built-in functions: `filter`, `map`, `dropwhile`, `filterfalse`, `reduce`...
- Supports asynchronous iterables and generators (`PEP0525`_)
- Concurrent iterables and higher-order functions.
- Better ``asyncio.gather()`` and ``asyncio.wait()`` with optional concurrency control and ordered results.
- Works with both `async/await`_ and `yield from`_ coroutines syntax.
- Reliable coroutine timeout limit handler via context manager.
- Designed for intensive I/O bound concurrent non-blocking tasks.
- Good interoperability with ``asyncio`` and Python ``stdlib`` functions.
- `Composable pipelines`_ of functors via ``|`` operator overloading.
- Small and dependency free.
- Compatible with Python +3.4.

Installation
------------

Using ``pip`` package manager:

.. code-block:: bash

pip install --upgrade paco

Or install the latest sources from Github:

.. code-block:: bash

pip install -e git+git://github.com/h2non/paco.git#egg=paco

API
---

- paco.ConcurrentExecutor_
- paco.apply_
- paco.compose_
- paco.concurrent_
- paco.constant_
- paco.curry_
- paco.defer_
- paco.dropwhile_
- paco.each_
- paco.every_
- paco.filter_
- paco.filterfalse_
- paco.flat_map_
- paco.gather_
- paco.identity_
- paco.interval_
- paco.map_
- paco.once_
- paco.partial_
- paco.race_
- paco.reduce_
- paco.repeat_
- paco.run_
- paco.series_
- paco.some_
- paco.throttle_
- paco.thunk_
- paco.timeout_
- paco.TimeoutLimit_
- paco.times_
- paco.until_
- paco.wait_
- paco.whilst_
- paco.wraps_

.. _paco.ConcurrentExecutor: http://paco.readthedocs.io/en/latest/api.html#paco.ConcurrentExecutor
.. _paco.apply: http://paco.readthedocs.io/en/latest/api.html#paco.apply
.. _paco.compose: http://paco.readthedocs.io/en/latest/api.html#paco.compose
.. _paco.concurrent: http://paco.readthedocs.io/en/latest/api.html#paco.concurrent
.. _paco.constant: http://paco.readthedocs.io/en/latest/api.html#paco.constant
.. _paco.curry: http://paco.readthedocs.io/en/latest/api.html#paco.curry
.. _paco.defer: http://paco.readthedocs.io/en/latest/api.html#paco.defer
.. _paco.dropwhile: http://paco.readthedocs.io/en/latest/api.html#paco.dropwhile
.. _paco.each: http://paco.readthedocs.io/en/latest/api.html#paco.each
.. _paco.every: http://paco.readthedocs.io/en/latest/api.html#paco.every
.. _paco.filter: http://paco.readthedocs.io/en/latest/api.html#paco.filter
.. _paco.filterfalse: http://paco.readthedocs.io/en/latest/api.html#paco.filterfalse
.. _paco.flat_map: http://paco.readthedocs.io/en/latest/api.html#paco.flat_map
.. _paco.gather: http://paco.readthedocs.io/en/latest/api.html#paco.gather
.. _paco.identity: http://paco.readthedocs.io/en/latest/api.html#paco.identity
.. _paco.interval: http://paco.readthedocs.io/en/latest/api.html#paco.interval
.. _paco.map: http://paco.readthedocs.io/en/latest/api.html#paco.map
.. _paco.once: http://paco.readthedocs.io/en/latest/api.html#paco.once
.. _paco.partial: http://paco.readthedocs.io/en/latest/api.html#paco.partial
.. _paco.race: http://paco.readthedocs.io/en/latest/api.html#paco.race
.. _paco.reduce: http://paco.readthedocs.io/en/latest/api.html#paco.reduce
.. _paco.repeat: http://paco.readthedocs.io/en/latest/api.html#paco.repeat
.. _paco.run: http://paco.readthedocs.io/en/latest/api.html#paco.run
.. _paco.series: http://paco.readthedocs.io/en/latest/api.html#paco.series
.. _paco.some: http://paco.readthedocs.io/en/latest/api.html#paco.some
.. _paco.throttle: http://paco.readthedocs.io/en/latest/api.html#paco.throttle
.. _paco.thunk: http://paco.readthedocs.io/en/latest/api.html#paco.thunk
.. _paco.timeout: http://paco.readthedocs.io/en/latest/api.html#paco.timeout
.. _paco.TimeoutLimit: http://paco.readthedocs.io/en/latest/api.html#paco.TimeoutLimit
.. _paco.times: http://paco.readthedocs.io/en/latest/api.html#paco.times
.. _paco.until: http://paco.readthedocs.io/en/latest/api.html#paco.until
.. _paco.wait: http://paco.readthedocs.io/en/latest/api.html#paco.wait
.. _paco.whilst: http://paco.readthedocs.io/en/latest/api.html#paco.whilst
.. _paco.wraps: http://paco.readthedocs.io/en/latest/api.html#paco.wraps

Examples
^^^^^^^^

Asynchronously and concurrently execute multiple HTTP requests.

.. code-block:: python

import paco
import aiohttp

async def fetch(url):
async with aiohttp.ClientSession() as session:
async with session.get(url) as res:
return res

async def fetch_urls():
urls = [
'https://www.google.com',
'https://www.yahoo.com',
'https://www.bing.com',
'https://www.baidu.com',
'https://duckduckgo.com',
]

# Map concurrent executor with concurrent limit of 3
responses = await paco.map(fetch, urls, limit=3)

for res in responses:
print('Status:', res.status)

# Run in event loop
paco.run(fetch_urls())

Concurrent pipeline-style composition of transform functors over an iterable object.

.. code-block:: python

import paco

async def filterer(x):
return x < 8

async def mapper(x):
return x * 2

async def drop(x):
return x < 10

async def reducer(acc, x):
return acc + x

async def task(numbers):
return await (numbers
| paco.filter(filterer)
| paco.map(mapper)
| paco.dropwhile(drop)
| paco.reduce(reducer, initializer=0))

# Run in event loop
number = paco.run(task((1, 2, 3, 4, 5, 6, 7, 8, 9, 10)))
print('Number:', number) # => 36

License
-------

MIT - Tomas Aparicio

.. _asynchronous: http://python.org
.. _asyncio: https://docs.python.org/3.5/library/asyncio.html
.. _Python: http://python.org
.. _annotated API reference: https://h2non.github.io/paco
.. _async/await: https://www.python.org/dev/peps/pep-0492/
.. _yield from: https://www.python.org/dev/peps/pep-0380/
.. _Composable pipelines: #examples
.. _itertools: https://docs.python.org/3/library/itertools.html
.. _functools: https://docs.python.org/3/library/functools.html
.. _PEP0525: https://www.python.org/dev/peps/pep-0525/

.. |PyPI| image:: https://img.shields.io/pypi/v/paco.svg?maxAge=2592000?style=flat-square
:target: https://pypi.python.org/pypi/paco
.. |Coverage Status| image:: https://coveralls.io/repos/github/h2non/paco/badge.svg?branch=master
:target: https://coveralls.io/github/h2non/paco?branch=master
.. |Documentation Status| image:: https://img.shields.io/badge/docs-latest-green.svg?style=flat
:target: http://paco.readthedocs.io/en/latest/?badge=latest
.. |Quality| image:: https://codeclimate.com/github/h2non/paco/badges/gpa.svg
:target: https://codeclimate.com/github/h2non/paco
.. |Stability| image:: https://img.shields.io/pypi/status/paco.svg
:target: https://pypi.python.org/pypi/paco
.. |Versions| image:: https://img.shields.io/pypi/pyversions/paco.svg
:target: https://pypi.python.org/pypi/paco